About

I am a PhD student in the field of mathematics with applications to cognitive sciences under the supervision of Nihat Ay. I study models of perception, action selection and consciousness using information and probability theory, and in particular Bayesian networks.

Before, I studied mathematics at the University of Cambridge (Part III) and liberal arts and sciences at University College Utrecht.

Publications

• On the Fisher-Rao Gradient of the Evidence Lower Bound
  with: Nihat Ay
  ICML Workshop Duality Principles for Modern Machine Learning 2023
  arXiv:2307.11249
• Inversion of Bayesian Networks
  with: Peter van Hintum, Nihat Ay
  International Journal of Approximate Reasoning. Elsevier. 2023 10.1016/j.ijar.2023.109042. arXiv:2212.10649
• Invariance properties of the natural gradient in overparametrised systems
  with: Johannes Müller, Nihat Ay
  Information Geometry. Springer. 2022.
  doi:10.1007/s41884-022-00067-9 arXiv:2206.15273
• Bures-Wasserstein geometry for positive-definite Hermitian matrices and their trace-one subset
  Information Geometry. Springer. 2022.
  doi:10.1007/s41884-022-00069-7 arXiv:2001.08056

Activities

Upcoming

• TBA

Past

• The Active Self. Sante Fe Institute working group March 2024
• Santa Fe Institute summer school on “Intelligence & Representation” in Cambridge UK, August 2023
• IG4DS: Information Geometry for Data Science
• MoC3: Models of Consciousness 2022
• WUPES ‘22: The 12th Workshop on Uncertainty Processing
• Conference on Mathematics of Machine Learning, 2021, Bielefeld, Germany
• GSI 2021: International Conference on Geometric Science of Information, Paris